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Chemical-induced disease relation extraction with dependency information and prior knowledge., , , , , and . J. Biomed. Informatics, (2018)Knowledge-aware attention network for protein-protein interaction extraction., , , , , and . J. Biomed. Informatics, (2019)DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering., , , , and . BioNLP@ACL, page 437-445. Association for Computational Linguistics, (2019)Shared Representation Learning with Self-Attention for Cross-Domain Chinese Hedge Cue Recognition., , , , and . IALP, page 362-367. IEEE, (2018)Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction., , , , , and . COLING, page 5259-5270. International Committee on Computational Linguistics, (2020)Knowledge-guided convolutional networks for chemical-disease relation extraction., , , , , and . BMC Bioinform., 20 (1): 260:1-260:13 (2019)Leveraging Prior Knowledge for Protein-Protein Interaction Extraction with Memory Network., , , , , , and . CoRR, (2020)Chemical-induced Disease Relation Extraction with Dependency Information and Prior Knowledge., , , , , and . CoRR, (2020)Improving the recall of biomedical named entity recognition with label re-correction and knowledge distillation., , , , , and . BMC Bioinform., 22 (1): 295 (2021)Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction., , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (6): 1879-1889 (2019)